AI Deployment Engineer at Mountaineer Cleaning & Maintenance

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Aug, 26

Salary

200000.0

Posted On

17 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, LLM Systems, RAG, Agent Workflows, Prompt Engineering, API Integration, Cloud Infrastructure, Security Engineering, Technical Documentation, TypeScript, Database Management

Industry

Description

AI Deployment Engineer AI & Automation Practice Stable Rock is hiring an AI Deployment Engineer to help build and scale a new AI & Automation practice focused on deploying production-grade AI systems for real businesses. This is not a role where you inherit a mature playbook and simply execute predefined processes. As an early member of the team, you will help shape how the practice operates - including how projects are scoped and delivered, how AI systems are deployed securely, how engineering reviews and documentation are handled, and how repeatable processes are built as the team grows. We are looking for someone who enjoys building both systems and structure: someone comfortable writing production code, deploying AI into complex client environments, and helping establish the engineering standards, deployment patterns, and operational discipline that future team members will follow. The systems we build support real operational workflows across finance, accounting, reporting, and back-office infrastructure. These are production environments where reliability, security, auditability, and thoughtful engineering matter. What You'll Do: Design and deploy AI-powered applications, agents, RAG systems, workflow automations, and integrations. Build production systems using Python, APIs, databases, and modern LLM tooling. Integrate with CRMs, ERPs, accounting systems, internal APIs, and data platforms. Deploy solutions into client cloud environments, private infrastructure, and secure production systems. Build monitoring, testing, evaluation, and operational support processes for deployed AI systems. Implement security-first engineering practices including IAM, secrets management, audit trails, and least-privilege access. Participate in client discussions, technical reviews, implementation planning, and delivery. Create technical documentation, deployment runbooks, and operational procedures. Help establish the engineering and delivery standards for a growing AI practice. What We're Looking For: 4+ years of professional software engineering experience Strong Python engineering experience Strong SQL and relational database fundamentals Hands-on experience building with modern LLM systems, including: RAG vector retrieval agent workflows tool/function calling prompt engineering Experience building and maintaining production systems Experience integrating with third-party APIs and business systems Strong communication skills with both technical and non-technical stakeholders Security-minded engineering approach and strong ownership mentality Preferred Experience: TypeScript AWS, Azure, and/or GCP infrastructure AI deployments in regulated or security-sensitive environments Evaluation frameworks, regression testing, monitoring, and model performance tracking Experience working with accounting, financial, or operational systems Client-facing consulting or implementation experience Why This Role: Help build a new AI & Automation practice from the ground up. Work on real-world AI systems used inside operating businesses. High ownership and meaningful technical influence from day one. Exposure to AI engineering, infrastructure, finance, operations, and client delivery. Opportunity to help define engineering standards, deployment models, and scalable delivery processes. About Stable Rock Stable Rock is a next-generation outsourcing and business infrastructure platform serving more than 400 U.S. and international enterprises. With roots dating back to 1975, Stable Rock provides accounting, financial advisory, HR, technology, tax, insurance, operational infrastructure, and back-office support services to growing businesses. The AI & Automation practice builds production-grade systems that help clients automate workflows, integrate systems, improve reporting, and operationalize AI safely inside real business environments. Location We are open to exceptional talent nationwide, with a strong preference for candidates located in or near our core markets: New York, Dallas, Miami, Chicago, San Francisco, and Los Angeles. We offer hybrid work flexibility to support professional and personal balance. Compensation Highly competitive base salary ranging from $150,000 to $200,000, based on experience and location, with eligibility for a discretionary performance bonus. Benefits: Medical, Dental, and Vision insurance coverage. Employee-only premiums are paid at 100%. Health Savings Account (HSA) and Flexible Spending Account (FSA) options 401(k) retirement savings plan Unlimited paid time off policy Inclusion: Stable Rock is an equal opportunity employer and we value diversity at our firm. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply and are committed to building a team that reflects many different perspectives and experiences. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible. Application Process: Submit a resume, cover letter, and professional references to careers@stablerock.com.

Responsibilities

Design and deploy production-grade AI applications, agents, and RAG systems integrated with business software. Establish engineering standards, deployment patterns, and operational discipline for a growing AI and Automation practice.